Back
Senior, niche AI-data architect in a metro at an established enterprise creates moderate competition.
Data architecture and LLM engineering skills are transferable across industries but demand specialized platform experience.
Explicit 8+ years plus mandatory Snowflake, dbt, LLM, Python and SQL requirements enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and own scalable reference architecture for delivering governed data to analytics, applications, and AI agents.
Architect and build AI data products including natural-language Data Agents with orchestration, tool calling, and guardrails.
Lead technical design, mentor engineers, translate business needs into technical solutions, and drive end-to-end delivery of features.
8+ years experience in data architecture and hands-on engineering of production enterprise systems.
Strong proficiency in Python and SQL; experience designing and building on Snowflake and DBT.
Proven experience with LLM and agentic solutions involving RAG, function/tool calling, orchestration frameworks (e.g., LangChain).
Work Experience Required: 8+ years relevant experience.
Experienced in designing semantic layers as foundational components for trusted AI and governed data.
Able to bridge technical and business domains by translating complex technical concepts for non-technical stakeholders.
Prior technical leadership in fast-paced environments, capable of leading teams and influencing architecture decisions.